Volumetric Medical Imaging
Volumetric Medical Imaging - Related Videos
08:21
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
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Cited by 4 •
2014
Optical detection of ultrasound is impractical in many imaging scenarios because it often requires stable environmental conditions. We demonstrate an optical technique for ultrasound sensing in volatile environments with miniaturization and sensitivity levels appropriate for optoacoustic imaging in restrictive scenarios, e.g. intravascular applications.
06:26
Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
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2025
We present a detailed protocol for three-dimensional analysis of soft tissue changes with the use of stereophotogrammetry.
12:23
Multi-modal Imaging of Angiogenesis in a Nude Rat Model of Breast Cancer Bone Metastasis Using Magnetic Resonance Imaging, Volumetric Computed Tomography and Ultrasound
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Cited by 16 •
2012
In the pathogenesis of bone metastasis, angiogenesis is a crucial process and therefore represents a target for imaging and therapy. Here, we present a rat model of site-specific breast cancer bone metastasis and describe strategies to non-invasively image angiogenesis in vivo using magnetic resonance imaging, volumetric computed tomography and ultrasound.
09:36
Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 4. Medical Imaging Procedures
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Cited by 8 •
2016
Here, we present an overview of the preparation and animal handling procedures required to safely perform medical imaging in an animal biosafety level 4 laboratory. Computed tomography of a mock-infected guinea pig illustrates these procedures that may be used to evaluate the disease caused by a high consequence pathogen.
06:59
A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
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Cited by 5 •
2016
This study presents a novel device that offers an easy route to quickly provide medications and fluids in patients with limited or difficult IV access. This small-diameter device is placed in the distal third of the rectum, allowing for ongoing medication and fluids administration.
FAQs
The measured signal determines what biological property contributes to the reconstructed volume. X-ray systems collect attenuation data, magnetic resonance systems collect magnetic resonance signals, and ultrasound systems collect echoes. Because these inputs arise from different interactions with tissues, the resulting datasets provide modality-specific information for examining organs, tumors, vessels, tissue organization, or developmental changes.
The reconstruction arranges measurements into neighboring voxels, so structures can be examined according to their position throughout a volume. This supports analysis of how organs, vessels, tumors, and tissues relate to one another rather than limiting interpretation to separate two-dimensional views. Preserved spatial organization is especially relevant when anatomy changes shape, size, or location.
Voxels provide the three-dimensional units used to organize reconstructed measurements. Together, they represent the extent and arrangement of anatomical structures throughout the dataset, allowing researchers and clinicians to examine volume-based features. Voxel organization therefore supports measurements of size and shape, as well as evaluation of spatial relationships within organs, tissues, tumors, and vessels.
Each modality supplies a different type of measurement, so interpretation begins with understanding whether the dataset reflects X-ray attenuation, magnetic resonance signals, or ultrasound echoes. That distinction affects which anatomical features can be examined in the resulting volume. Selecting among these signal sources helps align the imaging data with questions about anatomy, disease, or development.
A typical workflow begins by collecting measurements from the biological subject with an imaging system. Computational reconstruction then organizes those measurements into a three-dimensional dataset. The completed volume can be visualized and analyzed for anatomical size, shape, and spatial relationships. This sequence connects raw signals with interpretable information for research, diagnosis, treatment planning, or surgical guidance.
Its value is greatest when investigators need information about structures distributed through space or changing over time. The datasets can support diagnosis, treatment planning, and surgical guidance, while biological research can use them to study anatomy, disease progression, tissue organization, and developmental changes. Measurements of size and shape also provide outcomes for comparing anatomical conditions.